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Notes on the Code: [Code Guide](src)
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Notes on the Code: [Code Guide](src)
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Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf)
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Learning about the model: [Introduction to Boosted Trees](http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf)
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* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view, which directly optimizes the loss function and regularization penalty.
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* This slide is made by Tianqi Chen to introduce gradient boosting in a statistical view.
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* The slide present the model used by xgboost.
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* It present boosted tree learning as formal functional space optimization of defined objective.
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* The model presented is used by xgboost for boosted trees
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What's New
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What's New
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